Beginning VB .NET 1.1 Databases

From Novice to Professional

Häftad, Engelska, 2005

AvDan Maharry,Peter Wright,Matthew MacDonald

529 kr

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VB .NET is a powerful programming .NET programming language that is often considered the "workhorse" of programming. Further, programming in VB .NET accounts for a huge portion of all programming effort taking place currently. To understand VB .NET is to meet challenging programming projects head on. Author Dan Maharry livens the topic with his unique style, and presents you with the skill set you want and need, to enter today's VB .NET programming jobs. This book is an ideal read for you, beginning and intermediate VB .NET students, who want to understand the core of VB .NET and database programming. Dan Maharry is at the height of his powers, and promises to lead you on a memorable VB.NET journey.

Produktinformation

Utgivningsdatum2005-02-16
Mått178 x 235 x 33 mm
Vikt1 169 g
FormatHäftad
SpråkEngelska
Antal sidor632
FörlagAPress
ISBN9781590593585

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Dan Maharry is a UK-based professional technical author with over a dozen books to his name and many more as technical reviewer and editor for a variety of publishers including Wrox, Apress, Microsoft Press and O'Reilly Associates. He's also a .NET developer with past stints for the dotCoop TLD registry and various web development houses under his belt. He contributes code and documentation to various open source projects and tries to blog and to speak from time to time to user groups about cool stuff. He listens to a lot of new music as he does the above.

Installing MSDE.- A simple Data-driven Sample App.- Introduction to SQL.- What's ADO.NET? - Basic Rules.- Connecting to a Database.- Acquiring Data.- Using DataReader.- The DataSet and DataAdapter.- Data within Windows Applications.- Using Data in ASP.NET Pages.- Validating User Input.- Tables and Relationships.- More about SQL.- Views and Stored Procedures.- Indexes and Constraints.- Database Security.- ADO.NET and XML.- Handling ADO.NET Errors.- Transactions.- ADO.NET Events.- Irregular Data.